| 2026 | AAAI | FedMerge: Federated Model Merging for Personalization. | Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2026 | AAAI | MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals. | Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu, Wei-Long Zheng |
| 2026 | AAAI | Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models. | Tianyi Zhou, Johanne Medina, Sanjay Chawla |
| 2026 | ACL | Optimizing Length Compression in Large Reasoning Models. | Zhengxiang Cheng, Dongping Chen, Mingyang Fu, Tianyi Zhou |
| 2026 | ACL | AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering? | Maharshi Gor, Yoo Yeon Sung, Yu Hou, Eve Fleisig, Zhu Irene Ying, Tianyi Zhou, Jordan Lee Boyd-Graber |
| 2026 | ACL | Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction. | Ming Li, Han Chen, Yunze Xiao, Jian Chen, Hong Jiao, Tianyi Zhou |
| 2026 | ACL | Schoenfeld's Anatomy of Mathematical Reasoning by Language Models. | Ming Li, Chenrui Fan, Yize Cheng, Soheil Feizi, Tianyi Zhou |
| 2026 | ACL | How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients. | Ming Li, Yanhong Li, Ziyue Li, Tianyi Zhou |
| 2026 | EACL | Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs. | Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan |
| 2026 | ISKE | Multi-view Masked ECG Representation Learning with Hierarchical Fuzzy Memory. | Tianyi Zhou, Yuepeng Chen, Wei Zhang, Fan Fu, Weiping Ding |
| 2025 | AAAI | Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. | Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang |
| 2025 | ACL | ATLAS: Agent Tuning via Learning Critical Steps. | Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou |
| 2025 | ACL | Multiple LLM Agents Debate for Equitable Cultural Alignment. | Dayeon Ki, Rachel Rudinger, Tianyi Zhou, Marine Carpuat |
| 2025 | ACL | Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning. | Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou |
| 2025 | ACL | What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective. | Ming Li, Yanhong Li, Tianyi Zhou |
| 2025 | ACL | GUI Agents: A Survey. | Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | ACL | From Lists to Emojis: How Format Bias Affects Model Alignment. | Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang |
| 2025 | AISTATS | Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs. | Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou |
| 2025 | CIKM | Calibrated and Diverse News Coverage. | Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis |
| 2025 | CIKM | Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era. | Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu |
| 2025 | CVPR | Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion. | Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao |
| 2025 | EMNLP | Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning. | Kwesi A. Cobbina, Tianyi Zhou |
| 2025 | EMNLP | Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory. | Ming Li, Nan Zhang, Chenrui Fan, Hong Jiao, Yanbin Fu, Sydney Peters, Qingshu Xu, Robert Lissitz, Tianyi Zhou |
| 2025 | EMNLP | Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency. | Chenlong Wang, Yuanning Feng, Dongping Chen, Zhaoyang Chu, Ranjay Krishna, Tianyi Zhou |
| 2025 | ICCAD | LUT-HD: Accelerating Hyperdimensional Computing Inference via Efficient Table Lookup. | Haodong Lu, Da Tang, Xiqiong Bai, Zexu Zhang, Tianyi Zhou, Xinran Li, Kun Wang |
| 2025 | ICCV | Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion. | Yijun Liang, Shweta Bhardwaj, Tianyi Zhou |
| 2025 | ICCV | RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters. | Xiaolin Liu, Tianyi Zhou, Hongbo Kang, Jian Ma, Ziwen Wang, Jing Huang, Wenguo Weng, Yu-Kun Lai, Kun Li |
| 2025 | ICLR | The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. | Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng |
| 2025 | ICLR | OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities. | Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong |
| 2025 | ICLR | DataGen: Unified Synthetic Dataset Generation via Large Language Models. | Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang |
| 2025 | ICLR | Many-Objective Multi-Solution Transport. | Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou |
| 2025 | ICLR | Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free. | Ziyue Li, Tianyi Zhou |
| 2025 | ICLR | Is Your Multimodal Language Model Oversensitive to Safe Queries? | Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh |
| 2025 | ICLR | Transformers Learn Low Sensitivity Functions: Investigations and Implications. | Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan |
| 2025 | ICLR | BenTo: Benchmark Reduction with In-Context Transferability. | Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou |
| 2025 | ICML | Tilted Sharpness-Aware Minimization. | Tian Li, Tianyi Zhou, Jeff A. Bilmes |
| 2025 | ICML | R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts. | Zhongyang Li, Ziyue Li, Tianyi Zhou |
| 2025 | ICML | Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization. | Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang |
| 2025 | IROS | Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation. | Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Tianyi Zhou, Dinesh Manocha, Amrit Singh Bedi |
| 2025 | IROS | Quantifying and Modeling Driving Styles in Trajectory Forecasting. | Laura Zheng, Hamidreza Yaghoubi Araghi, Tony Wu, Sandeep Thalapanane, Tianyi Zhou, Ming C. Lin |
| 2025 | NAACL | RuleR: Improving LLM Controllability by Rule-based Data Recycling. | Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou |
| 2025 | NAACL | Sparser Mixture-of-Adapters with Cross-Layer Generalization. | Ziyue Li, Tianyi Zhou |
| 2025 | NAACL | Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. | Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao |
| 2024 | ACL | Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. | Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang |
| 2024 | ACL | Meta-Task Prompting Elicits Embeddings from Large Language Models. | Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates |
| 2024 | ACL | Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. | Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou |
| 2024 | ACL | Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. | Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou |
| 2024 | ACL | Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning. | Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou |
| 2024 | ACL | Multi-Objective Linguistic Control of Large Language Models. | Dang Nguyen, Jiuhai Chen, Tianyi Zhou |
| 2024 | CVPR | Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. | Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou |
| 2024 | CVPR | Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. | Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi |
| 2024 | EACL | Corpus-Steered Query Expansion with Large Language Models. | Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates |
| 2024 | ECCV | Understanding the Impact of Negative Prompts: When and How Do They Take Effect? | Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh |
| 2024 | ECCV | Do Text-Free Diffusion Models Learn Discriminative Visual Representations? | Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava |
| 2024 | EMNLP | Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. | Maharshi Gor, Hal Daum III, Tianyi Zhou, Jordan L. Boyd-Graber |
| 2024 | EMNLP | 1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? | Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun |
| 2024 | EMNLP | DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers. | Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh |
| 2024 | EMNLP | SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding. | Ryan Sun, Tianyi Zhou, Xun Chen, Lichao Sun |
| 2024 | EMNLP | AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. | Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan L. Boyd-Graber, Tianyi Zhou, Dinesh Manocha |
| 2024 | ICLR | AlpaGasus: Training a Better Alpaca with Fewer Data. | Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin |
| 2024 | ICLR | Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. | Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi |
| 2024 | ICLR | Federated Recommendation with Additive Personalization. | Zhiwei Li, Guodong Long, Tianyi Zhou |
| 2024 | ICLR | Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. | Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang |
| 2024 | ICML | Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models. | Jan van den Brand, Zhao Song, Tianyi Zhou |
| 2024 | ICML | ODIN: Disentangled Reward Mitigates Hacking in RLHF. | Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | ICML | InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. | Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. | Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh |
| 2024 | ICRA | Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering. | Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin |
| 2024 | KDD | GPFedRec: Graph-Guided Personalization for Federated Recommendation. | Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang |
| 2024 | NAACL | An End-to-End Submodular Framework for Data-Efficient In-Context Learning. | Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes |
| 2024 | NAACL | From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. | Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao |
| 2024 | PacificVis | EmoGeoCity: Interactive Visual Exploration of City's Historical and Cultural Evolution Based on Emotional Geography. | Yutong Yang, Yinuo Liu, Qishuo Bai, Tianyi Zhou, Ziduo Ye, Xiaoju Dong |
| 2024 | SMC | Study on the Influence of Embodied Avatars on Gait Parameters in Virtual Environments and Real World. | Tianyi Zhou, Ding Ding, Shengyu Wang, Chuhan Shi, Xiangyu Xu |
| 2024 | WWW | When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. | Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang |
| 2024 | WWW | Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates. | Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis |
| 2023 | CGI | CAGviz: A Visual Analysis Method to Explore Cyber Asset Graphs of Cybercrime Gangs. | Yinuo Liu, Yifan Li, Binhao Zhao, Tianyi Zhou, Shengtao Chen, Xiaoju Dong |
| 2023 | EMNLP | How Many Demonstrations Do You Need for In-context Learning? | Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou |
| 2023 | EMNLP | Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. | Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao |
| 2023 | GECCO | Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. | Tianyi Zhou, Wei Fang |
| 2023 | ICALP | Space-Efficient Interior Point Method, with Applications to Linear Programming and Maximum Weight Bipartite Matching. | S. Cliff Liu, Zhao Song, Hengjie Zhang, Lichen Zhang, Tianyi Zhou |
| 2023 | ICCV | Subclass-balancing Contrastive Learning for Long-tailed Recognition. | Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou |
| 2023 | ICCV | When to Learn What: Model-Adaptive Data Augmentation Curriculum. | Chengkai Hou, Jieyu Zhang, Tianyi Zhou |
| 2023 | ICML | Structured Cooperative Learning with Graphical Model Priors. | Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2023 | ICML | Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. | Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher R, Beidi Chen |
| 2023 | ICML | Continual Task Allocation in Meta-Policy Network via Sparse Prompting. | Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi |
| 2023 | ICML | Does Continual Learning Equally Forget All Parameters? | Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2023 | IJCAI | Dual Personalization on Federated Recommendation. | Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang |
| 2023 | SiggraphA | Aerial Diffusion: Text Guided Ground-to-Aerial View Synthesis from a Single Image using Diffusion Models. | Divya Kothandaraman, Tianyi Zhou, Ming C. Lin, Dinesh Manocha |
| 2022 | AAAI | FedProto: Federated Prototype Learning across Heterogeneous Clients. | Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang |
| 2022 | ACL | Token Dropping for Efficient BERT Pretraining. | Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou |
| 2022 | CVPR | Learning to Collaborate in Decentralized Learning of Personalized Models. | Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2022 | EMNLP | TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. | Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao |
| 2022 | ICLR | Diverse Client Selection for Federated Learning via Submodular Maximization. | Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes |
| 2022 | ICLR | Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. | Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang |
| 2022 | ICLR | Pareto Policy Pool for Model-based Offline Reinforcement Learning. | Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi |
| 2022 | ICML | EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. | Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang |
| 2022 | ICML | Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. | Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2022 | IJCAI | Personalized Federated Learning With a Graph. | Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang |
| 2022 | NAACL | Phrase-level Textual Adversarial Attack with Label Preservation. | Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy |
| 2022 | VTC | Joint Caching and Computing of Software-Defined Space-Air-Ground Integrated Networks for Video Streaming Service Improvement. | Tianyi Zhou, Chengchao Liang, Qianbin Chen |
| 2021 | AISTATS | Curriculum Learning by Optimizing Learning Dynamics. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2021 | EMNLP | Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. | Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang |
| 2021 | ICLR | AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. | Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy |
| 2021 | ICLR | Isometric Propagation Network for Generalized Zero-shot Learning. | Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang |
| 2021 | ICLR | Robust Curriculum Learning: from clean label detection to noisy label self-correction. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2021 | WWW | Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. | Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang |
| 2020 | AAAI | Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. | Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang |
| 2020 | AAAI | Attribute Propagation Network for Graph Zero-Shot Learning. | Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2020 | COLING | Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. | Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang |
| 2020 | ICML | Time-Consistent Self-Supervision for Semi-Supervised Learning. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2019 | ICML | Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. | Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes |
| 2019 | ICML | Jumpout : Improved Dropout for Deep Neural Networks with ReLUs. | Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes |
| 2019 | IJCAI | Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. | Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2019 | NAACL | Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2018 | AAAI | DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang |
| 2018 | ICLR | Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2018 | ICLR | Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity. | Tianyi Zhou, Jeff A. Bilmes |
| 2018 | IJCAI | Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. | Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang |
| 2017 | AISTATS | Scaling Submodular Maximization via Pruned Submodularity Graphs. | Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin |
| 2017 | ISNN | Cluster Aggregation for Analyzing Event-Related Potentials. | Reza Mahini, Tianyi Zhou, Peng Li, Asoke K. Nandi, Huanjie Li, Hong Li, Fengyu Cong |
| 2014 | KDD | Multi-task copula by sparse graph regression. | Tianyi Zhou, Dacheng Tao |
| 2013 | AISTATS | Greedy Bilateral Sketch, Completion & Smoothing. | Tianyi Zhou, Dacheng Tao |
| 2013 | ICDM | Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions. | Tianyi Zhou, Wei Bian, Dacheng Tao |
| 2013 | IJCAI | Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation. | Tianyi Zhou, Dacheng Tao |
| 2013 | ISIT | k-bit Hamming compressed sensing. | Tianyi Zhou, Dacheng Tao |
| 2013 | KDD | Constrained stochastic gradient descent for large-scale least squares problem. | Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao |
| 2012 | ISIT | Bilateral random projections. | Tianyi Zhou, Dacheng Tao |
| 2012 | ISIT | 1-bit Hamming compressed sensing. | Tianyi Zhou, Dacheng Tao |
| 2011 | ICML | GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case. | Tianyi Zhou, Dacheng Tao |
| 2010 | ICDM | NESVM: A Fast Gradient Method for Support Vector Machines. | Tianyi Zhou, Dacheng Tao, Xindong Wu |
| 2010 | ICONIP | Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization. | Tianyi Zhou, Dacheng Tao |
| 2009 | SMC | Manifold Elastic Net for Sparse Learning. | Tianyi Zhou, Dacheng Tao |